metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_hindi_mono
results: []
speecht5_finetuned_hindi_mono
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4357
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5391 | 4.3549 | 1000 | 0.4788 |
| 0.4991 | 8.7099 | 2000 | 0.4492 |
| 0.4851 | 13.0648 | 3000 | 0.4367 |
| 0.4859 | 17.4197 | 4000 | 0.4357 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu118
- Datasets 3.0.1
- Tokenizers 0.19.1